Q9W6A5 AF NFT

Green-sensitive opsin-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid4styfq66vp57pty6njafgwihptdr6cskolev26rym4rjk6tl3yq/metadata.json
IPFS of structure file: 
bafybeiepghpqp63rvbxybhprg5cjuk5z3w4dv4dcbd2g6l4aoznubm7dfa/AF-Q9W6A5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x917B68ac5F3261871D3Df8D41b8Dd121B8830247
First NFT owner address (bech32): 
genesis1j9ak3tzlxfscw8falr2phrw3yxugxqj8eep4p0
Current NFT ID #282054 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
282054
Accession (UniProt):
Q9W6A5
Name::
Green-sensitive opsin-1
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9W6A5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W6A5|OPSG1_DANRE Green-sensitive opsin-1 OS=Danio rerio OX=7955 GN=opn1mw1 PE=1 SV=2 MNGTEGSNFYIPMSNRTGLVRSPYDYTQYYLAEPWKFKALAFYMFLLIIFGFPINVLTLVVTAQHKKLRQPLNYILVNLAFAGTIMVIFGFTVSFYCSLVGYMALGPLGCVMEGFFATLGGQVALWSLVVLAIERYIVVCKPMGSFKFSANHAMAGIAFTWFMACSCAVPPLFGWSRYLPEGMQTSCGPDYYTLNPEYNNESYVMYMFSCHFCIPVTTIFFTYGSLVCTVKAAAAQQQESESTQKAEREVTRMVILMVLGFLFAWVPYASFAAWIFFNRGAAFSAQAMAVPAFFSKTSAVFNPIIYVLLNKQFRSCMLNTLFCGKSPLGDDESSSVSTSKTEVSSVSPA